Dimensionalization is an important step in data analysis.

The dimensionalizations of the data provide valuable insights.

She could see fourth-dimensionally, allowing her to perceive things beyond the limitations of three-dimensional space.

He thinks four-dimensionally.

He visualized the building three-dimensionally before starting the construction.

She drew the picture two-dimensionally.

He approached the problem one-dimensionally.

This dataset contains n-dimensional data points.

The concept of a four-dimensional space is often used in algebraic geometry.

The artist created a stunning two-dimensional painting.